Building an indoor air quality monitoring system based on the architecture of the Internet of Things
Abstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies....
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Online Access: | https://doi.org/10.1186/s13638-021-02030-1 |
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doaj-5d2eaeedc9ee4877b9e62f6e8880f4e42021-07-18T11:09:26ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-07-012021114110.1186/s13638-021-02030-1Building an indoor air quality monitoring system based on the architecture of the Internet of ThingsWen-Tsai Sung0Sung-Jung Hsiao1Department of Electrical Engineering, National Chin-Yi University of TechnologyDepartment of Information Technology, Takming University of Science and TechnologyAbstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules.https://doi.org/10.1186/s13638-021-02030-1Internet of Things (IoT)Smart homeAir qualityFuzzy controlWireless transmission |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wen-Tsai Sung Sung-Jung Hsiao |
spellingShingle |
Wen-Tsai Sung Sung-Jung Hsiao Building an indoor air quality monitoring system based on the architecture of the Internet of Things EURASIP Journal on Wireless Communications and Networking Internet of Things (IoT) Smart home Air quality Fuzzy control Wireless transmission |
author_facet |
Wen-Tsai Sung Sung-Jung Hsiao |
author_sort |
Wen-Tsai Sung |
title |
Building an indoor air quality monitoring system based on the architecture of the Internet of Things |
title_short |
Building an indoor air quality monitoring system based on the architecture of the Internet of Things |
title_full |
Building an indoor air quality monitoring system based on the architecture of the Internet of Things |
title_fullStr |
Building an indoor air quality monitoring system based on the architecture of the Internet of Things |
title_full_unstemmed |
Building an indoor air quality monitoring system based on the architecture of the Internet of Things |
title_sort |
building an indoor air quality monitoring system based on the architecture of the internet of things |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1499 |
publishDate |
2021-07-01 |
description |
Abstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules. |
topic |
Internet of Things (IoT) Smart home Air quality Fuzzy control Wireless transmission |
url |
https://doi.org/10.1186/s13638-021-02030-1 |
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